#!/usr/bin/env python3
import argparse
import numpy as np
import matplotlib.pyplot as plt
from typing import NamedTuple
from openpilot.tools.lib.logreader import LogReader
from openpilot.selfdrive.locationd.models.pose_kf import EARTH_G

RLOG_MIN_LAT_ACTIVE = 50
RLOG_MIN_STEERING_UNPRESSED = 50
RLOG_MIN_REQUESTING_MAX = 25  # sample many times after reaching max torque

QLOG_DECIMATION = 10


class Event(NamedTuple):
  lateral_accel: float
  speed: float
  roll: float
  timestamp: float  # relative to start of route (s)


def find_events(lr: LogReader, qlog: bool = False) -> list[Event]:
  min_lat_active = RLOG_MIN_LAT_ACTIVE // QLOG_DECIMATION if qlog else RLOG_MIN_LAT_ACTIVE
  min_steering_unpressed = RLOG_MIN_STEERING_UNPRESSED // QLOG_DECIMATION if qlog else RLOG_MIN_STEERING_UNPRESSED
  min_requesting_max = RLOG_MIN_REQUESTING_MAX // QLOG_DECIMATION if qlog else RLOG_MIN_REQUESTING_MAX

  events = []

  start_ts = 0

  # state tracking
  steering_unpressed = 0  # frames
  requesting_max = 0  # frames
  lat_active = 0  # frames

  # current state
  curvature = 0
  v_ego = 0
  roll = 0

  for msg in lr:
    if msg.which() == 'carControl':
      if start_ts == 0:
        start_ts = msg.logMonoTime

      lat_active = lat_active + 1 if msg.carControl.latActive else 0

    elif msg.which() == 'carOutput':
      # if we test with driver torque safety, max torque can be slightly noisy
      requesting_max = requesting_max + 1 if abs(msg.carOutput.actuatorsOutput.torque) > 0.95 else 0

    elif msg.which() == 'carState':
      steering_unpressed = steering_unpressed + 1 if not msg.carState.steeringPressed else 0
      v_ego = msg.carState.vEgo

    elif msg.which() == 'controlsState':
      curvature = msg.controlsState.curvature

    elif msg.which() == 'liveParameters':
      roll = msg.liveParameters.roll

    if lat_active > min_lat_active and steering_unpressed > min_steering_unpressed and requesting_max > min_requesting_max:
      # TODO: record max lat accel at the end of the event, need to use the past lat accel as overriding can happen before we detect it
      requesting_max = 0

      current_lateral_accel = curvature * v_ego ** 2 - roll * EARTH_G
      events.append(Event(current_lateral_accel, v_ego, roll, round((msg.logMonoTime - start_ts) * 1e-9, 2)))
      print(events[-1])

  return events


if __name__ == '__main__':
  parser = argparse.ArgumentParser(description="Find max lateral acceleration events",
                                   formatter_class=argparse.ArgumentDefaultsHelpFormatter)

  parser.add_argument("route")
  args = parser.parse_args()

  lr = LogReader(args.route, sort_by_time=True)
  qlog = args.route.endswith('/q')
  if qlog:
    print('WARNING: Treating route as qlog!')

  print('Finding events...')
  events = find_events(lr, qlog=qlog)

  print()
  print(f'Found {len(events)} events')

  perc_left_accel = -np.percentile([-ev.lateral_accel for ev in events if ev.lateral_accel < 0], 90)
  perc_right_accel = np.percentile([ev.lateral_accel for ev in events if ev.lateral_accel > 0], 90)

  CP = lr.first('carParams')

  plt.ion()
  plt.clf()
  plt.suptitle(f'{CP.carFingerprint} - Max lateral acceleration events')
  plt.title(args.route)
  plt.scatter([ev.speed for ev in events], [ev.lateral_accel for ev in events], label='max lateral accel events')

  plt.plot([0, 35], [3, 3], c='r', label='ISO 11270 - 3 m/s^2')
  plt.plot([0, 35], [-3, -3], c='r')

  plt.plot([0, 35], [perc_left_accel, perc_left_accel], c='g', linestyle='--', label='90th percentile left lateral accel')
  plt.plot([0, 35], [perc_right_accel, perc_right_accel], c='#ff7f0e', linestyle='--', label='90th percentile right lateral accel')
  plt.text(0.4, float(perc_left_accel + 0.4), f'{perc_left_accel:.2f} m/s^2', verticalalignment='center', fontsize=12)
  plt.text(0.4, float(perc_right_accel - 0.4), f'{perc_right_accel:.2f} m/s^2', verticalalignment='center', fontsize=12)

  plt.xlim(0, 35)
  plt.ylim(-5, 5)
  plt.xlabel('speed (m/s)')
  plt.ylabel('lateral acceleration (m/s^2)')
  plt.legend()
  plt.show(block=True)
